Having Hands-on experience in Computer Vision, Machine Learning, Deep Learning and Natural Language Processing.
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Diabetes-Disease-Detection-with-XG-Boost-and-Neural-Networks
April 29, 2022 – April 29, 2022
In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks. The objective of this project is to predict whether a patient has diabetes or not based on their given features and diagnostic measurements such as number of pregnancies, insulin levels, Body mass index, age and blood pressure.
View ProjectNatural-Language-Processing-for-Stocks-News-Analysis--11th-NOV-21
November 11, 2021 – November 11, 2021
In this deep learning project, we will train a Long Short Term Memory (LSTM) deep learning model to perform stocks sentiment analysis. Natural language processing (NLP) works by converting words (text) into numbers, these numbers are then used to train an AI/ML model to make predictions. In this project, we will build a machine learning model to analyze thousands of Twitter tweets to predict people’s sentiment towards a particular company or stock. The algorithm could be used automatically understand the sentiment from public tweets, which could be used as a factor while making buy/sell decision of securities.
View ProjectClassification-Trees-in-Python-From-Start-To-Finish-8-oct-21
October 8, 2021 – October 8, 2021
Classification-Trees-in-Python-From-Start-To-Finish-8-oct-21 — GitHub repository
View ProjectProject-Data-Visualization-with-Python---Matplotlib-and-Seaborn
June 23, 2021 – June 23, 2021
Understand python programming fundamentals for data visualization Leverage the power of Matplotlib and Seaborn Plot histograms, countplots, scatterplots, and line plots
View ProjectProject-Predicting-House-Prices-with-Regression-using-TensorFlow
June 21, 2021 – June 21, 2021
Create, train, and evaluate a neural network in TensorFlow. Solve regression problems with neural networks.
View ProjectProject-Predict-Sales-Revenue-with-scikit-learn
June 17, 2021 – June 17, 2021
Project: Predict Sales Revenue with Simple Linear Regression
View ProjectPython-for-Data-Analysis-Pandas-and-Numpy
June 4, 2021 – June 4, 2021
Project - Python for Data Analysis: Pandas and Numpy
View Projectibm-machine-learning-certificate-projects
March 18, 2021 – February 4, 2021
Projects for ML courses on Supervised Learning, Unsupervised Learning, Deep Learning, Reinforcement Learning and specialized topics such as Time Series Analysis and Survival Analysis :robot:
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic in nature, focusing on learning and applying specific ML techniques. While this demonstrates initiative and a strong learning drive, there is no evidence of collaborative projects, open-source contributions, or diverse team experiences. This limits the ability to assess cultural fit for a collaborative professional environment. The projects align well with the technical requirements of a Data Scientist role, indicating a strong interest in the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approach, or communication style in a team setting.